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Effects of the different precipitation levels on SAR data. Author(s): TORO, A. P. S. G. D.; CAPUCCI, G.; WERNER, J. P. S.; BUENO, I. T.; ESQUERDO, J. C. D. M.; ANTUNES, J. F. G.; COUTINHO, A. C.; LAMPARELLI, R. A. C.; MAGALHÃES, P. S. G.; OLIVEIRA JÚNIOR, J. G.; FIGUEIREDO, G. K. D. A. The present work aimed to identify the impacts of precipitation on the backscattering coefficient from Sentinel-1, in areas with agricultural landscape. Repository: BDPA Publication year: 2023
Near-real time deforestation detection in the Brazilian Amazon with Sentinel-1 and neural networks. Author(s): SILVA, C. A.; GUERRISI, G.; DEL FRATE, F.; SANO, E. E. Optical-based near-real time deforestation alert systems in the Brazilian Amazon are ineffective in the rainy season. This study identify clear-cut deforested areas through Neural Network (NN) algorit... ... Repository: BDPA Publication year: 2022
Soil carbon stock and particle size fractions in the Central Amazon predicted from remotely sensed relief, multispectral and radar data. Author(s): CEDDIA, M. B.; GOMES, A. S.; VASQUES, G. M.; PINHEIRO, E. F. M. Soils from the remote areas of the Amazon Rainforest in Brazil are poorly mapped due to the presence of dense forest and lack of access routes. The use of covariates derived from multispectral and rad... ... Repository: BDPA Publication year: 2017
Uso de Radar de Abertura Sintética e Índices de Vegetação para Discriminação de Alvos no Bioma Cerrado. Author(s): COUTO JUNIOR, A. F.; MENESES, P. R.; SANO, E. E. ABSTRACT -This work aimed to evaluate the differences and complementarities between the Phased Array Type L-band Synthetic Aperture (PALSAR) and the vegetation indices derived from the Landsat 7-ETM i... ... Repository: BDPA Publication year: 2011
Influência do direcionamento das linhas de plantio da cana-de-açúcar na resposta espectral dos dados PALSAR/ALOS. Author(s): PICOLI, M. C. A.; LAMPARELLI, R. A. C.; MELLO, J. R. B. de; SANO, E. E.; ROCHA, J. V. ABSTRACT - Few studies have beem carried out to understand the spectral response of agricultural areas in the microwave region, particularly for sugarcane.This study aimed at investigating the magnitu... ... Repository: BDPA Publication year: 2011
Use of airborne radar images and machine learning algorithms to map soil clay, silt, and sand contents in remote areas under the Amazon rainforest. Author(s): FERREIRA, A. C. de S.; CEDDIA, M. B.; COSTA, E. M.; PINHEIRO, E. F. M.; NASCIMENTO, M. M. do; VASQUES, G. M. Soil texture has a great influence on the physical-hydric and chemical behavior of soils. In the Amazon regions, due to the presence of dense forest cover and limited access to roads, carrying out sur... ... Repository: BDPA Publication year: 2022
Mapping Secondary Vegetation of a Region of Deforestation Hotspot in the Brazilian Amazon: Performance Analysis of C- and L-Band SAR Data Acquired in the Rainy Season. Author(s): KIYOHARA, B. H.; SANO, E. E. Abstract: The re-suppression of secondary vegetation (SV) in the Brazilian Amazon for agriculture or land speculation occurs mostly in the rainy season. The use of optical images to monitor such re-su... ... Repository: BDPA Publication year: 2022
Discriminating Forest Successional Stages, Forest Degradation, and Land Use in Central Amazon Using ALOS/PALSAR-2 Full-Polarimetric Data. Author(s): WIEDERKEHR, N. C.; GAMA, F. F.; CASTRO, P. B. N.; BISPO, P. da C.; BALZTER, H.; SANO, E. E.; SANTOS, J. R.; LIESENBERG, V.; MURA, J. C. We discriminated different successional forest stages, forest degradation, and land use classes in the Tapajós National Forest (TNF), located in the Central Brazilian Amazon. We used full polarimetric... ... Repository: BDPA Publication year: 2020
Multisensor approach to land use and land cover mapping in Brazilian Amazon. Author(s): PRUDENTE, V. H. R.; SKAKUN, S.; OLDONI, L. V.; XAUD, H. A. M.; XAUD, M. R.; ADAMI, M.; SANCHES, I. D. A. Remote sensing has an important role in the Land Use and Land Cover (LULC) mapping process worldwide. Combining spaceborne optical and microwave data is essential for accurate classification in areas... ... Repository: BDPA Publication year: 2022
Integrating GIS and remote sensing for soil attributes mapping in degraded pastures of the Brazilian Cerrado. Author(s): LOUZADA, R. O.; BERGIER, I.; BOLFE, E. L.; BARBEDO, J. G. A. Abstract: Remote sensing is a crucial tool for soil assessment, yet soil complexity and sensor limitations hinder accurate analysis. This study integrates active and passive remote sensing data with M... ... Repository: BDPA Publication year: 2025

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